In this paper, a chaotic strategy-based quadratic opposition-based learning adaptive
variable-speed whale optimization algorithm is proposed. The improved algorithm is used to …

Abstract Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm,
has gradually become a popular approach for optimization problems in various engineering …

Whale optimization algorithm (WOA), as an advanced optimization algorithm with simple
structure, has been favored by various fields. However, there are some disadvantages of …

To address the shortcomings of the whale optimization algorithm (WOA) in terms of
insufficient global search ability and slow convergence speed, a differential evolution …

In view of the shortcomings of the whale optimization algorithm (WOA), such as slow
convergence speed, low accuracy, and easy to fall into local optimum, an improved whale …

Abstract Whale Optimization Algorithm (WOA) is a key tool for solving complex engineering
optimization problems, aiming at adjusting important parameters to satisfy constraints and …

Similar to other swarm-based algorithms, the recently developed whale optimization
algorithm (WOA) has the problems of low accuracy and slow convergence. It is also easy to …

Whale optimization algorithm, as a relatively novel swarm-based intelligence optimization
algorithm, has been extensively utilized in numerous scientific and engineering fields. The …

This paper improves the performance of the recently-proposed Whale Optimization
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …

In view of the slow convergence speed, difficulty of escaping from the local optimum, and
difficulty maintaining the stability associated with the basic whale optimization algorithm …